Ting Wang

About Me

I am Associate Professor and Empire Innovation Scholar in the Department of Computer Science at Stony Brook University. I conduct research at the intersection of machine learning, security, and human-computer interaction, aiming to build a rigorous security foundation for artificial intelligence (AI)-powered systems. My recent work focuses on improving AI systems along three major thrusts:

• Security Assurance – resilient against malicious manipulations
• Privacy Preservation – respectful for individual privacy
• Decision-Making Transparency – interpretable to human perception

Before joining Stony Brook, I was Associate Professor in the College of IST at Penn State. I finished my Ph.D. at Georgia Tech and my undergrad study at Zhejiang University.

Team

I lead the Algorithmic Learning, Privacy, and Security (ALPS) lab, where I am privileged to work alongside a team of exceptional talents, both in the past and present:

Current Members – Tanqiu Jiang, Jiacheng Liang, Yuhui Wang, Rongyi Zhu, Ziyi Yin (co-supervised with Fenglong Ma)

Alumni – Guangke Chen (» Whuan University) Changjiang Li (» Palo Alto Networks) Ren Pang (» Amazon), Tianyu Du (» Zhejiang University), Zhaohan Xi (» Binghamton), Xinyang Zhang (» Amazon), Tinghao Xie (» Princeton), Zheng Zhang (» Northwestern), Ningfei Wang (» Meta), Yujie Ji (» Amazon), Sam Nguyen (» Google), Yifan Huang (» Bloomberg)

Join Us! – We are ALWAYS looking for motivated and bright (under)grad students and postdocs. If you know how to build/hack AI systems, we should talk! Please email me your resume and set up a time to discuss your potential fit to our team.

Recent Publications (Full List)

• GraphRAG under Fire!
  Jiacheng Liang, Yuhui Wang, Changjiang Li, Rongyi Zhu, Tanqiu Jiang, Neil Gong, Ting Wang
  IEEE Symposium on Security and Privacy (S&P’26)

• Self-Destructive Language Models
  Yuhui Wang, Rongyi Zhu, Ting Wang
  International Conference on Learning Representations (ICLR’26)

• Reasoning or Retrieval? A Study of Answer Attribution on Large Reasoning Models
  Yuhui Wang, Changjiang Li, Guangke Chen, Jiacheng Liang, Ting Wang
  International Conference on Learning Representations (ICLR’26)

• Be Friendly, Not Friends: How LLM Sycophancy Shapes User Trust
  Yuan Sun, Ting Wang
  ACM CHI conference on Human Factors in Computing Systems (CHI’26)

• Enhancing Medical Large Vision-Language Models via Alignment Distillation
  Aofei Chang, Ting Wang, Fenglong Ma
  Annual AAAI Conference on Artificial Intelligence (AAAI’26)

Teaching

Stony Brook

• Computer System Security (Fall 2025)
• Adversarial Machine Learning (Spring 2024, Spring 2025)

Penn State

• CYBER 366: Malware Analytics (Spring 2023, Spring/Fall 2022)
• IST 597: Adversarial Machine Learning (Spring 2020, Spring 2021)
• DS 300: Data Privacy and Security (Fall 2019, Fall 2020)

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